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Data Science & Modeling
The Data Science & Modeling pathway brings together 10 knowledge assessments within Data, Analytics & Data Science. Compare subjects such as Data Scientist; Machine Learning Engineer; Statistical Modeling; Forecasting Analyst, review their specific coverage and choose the discipline that best matches your knowledge.
Get a certificateRead the scope, evidence format and assessment criteria before you begin.
Find your assessment
Choose your discipline
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Data Scientist
Problem statement; characteristics; models; evaluation
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Machine Learning Engineer
Model training; validation; inference; deployment
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Statistical Modeling
Regression; assumptions; uncertainty; interpretation
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Forecasting Analyst
Time series; backtesting; metrics; limitations
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Causal Inference Analyst
Confounding; research design; causal models; hypothesis testing
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Experimentation Analyst
A/B; randomization; power; interpretation
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Computer Vision Specialist
images; recognition; detection; metrics; data biases
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NLP Specialist
text data; representations; classification; quality; language constraints
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Recommendation Systems Specialist
ranking; cold start; offline/online metrics; feedback
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Time Series Analyst
trend; seasonality; time validation; forecast; uncertainty
CertMetrica
A conversation with a purpose
- Choose your discipline
Read the scope, evidence format and assessment criteria before you begin.
- Explain your thinking
50 required tasks: 49 questions and a final problem-solving essay of 3–10 sentences.
- Understand your result
To pass: a score strictly above 90% and no more than 5 incorrect or partly correct answers out of 50.
Your certificate
A certificate with context
The certificate identifies the discipline and the assessment version. It confirms successful testing, without conferring a professional license, academic degree or permission to practice.
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